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Open data

Pl@ntNet Data on GBIF

The most reliable observations from Pl@ntNet are now integrated into the international database GBIF (Global Biodiversity Information Facility). GBIF is a global network and research infrastructure funded by governments worldwide, offering free and open access to biodiversity data. Publishing Pl@ntNet data on this platform allows researchers worldwide to use it for studies in ecology, agronomy, or biodiversity conservation.

Pl@ntNet data contributes to research on various topics, such as the impact of climate change on the distribution of plant species, the spread of invasive alien species, or the interactions between plants and pollinators.

Only the most reliable observations regarding species identification are shared on GBIF. This includes two main categories:

  1. Observations shared and validated by the community (accessible here).

  2. Identification requests for which the automatic recognition algorithm reaches a sufficiently high confidence level (accessible here.

Observations validated by the community are published with their images under a Creative Commons CC-BY-SA license, mentioning the author’s name. However, for identification requests, only the plant’s location and name are shared, without any additional personal information.

This exceptional contribution to science is the result of the commitment of all Pl@ntNet users, whether they are simple occasional users, passionate contributors, or data curators.

GBIF API

It is also possible to use the GBIF API to explore and download Pl@ntNet data.

Pl@ntNet Identification API

The Pl@ntNet identification service is also available as an API: My Pl@ntNet

Pl@ntNet-300K Image Dataset

Camille Garcin, Alexis Joly, Pierre Bonnet, Jean-Christophe Lombardo, Antoine Affouard, Mathias Chouet, Maximilien Servajean, Joseph Salmon, Titouan Lorieul. Pl@ntNet-300K: an image dataset of plants with high label ambiguity and a long-tail distribution. NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, December 2021, Virtual Conference, France.

Pl@ntNet-300K Image Dataset